Tag : privacy-preserving AI
AI Federated Learning: Federated learning trains a shared machine learning model on multiple decentralized devices (such as smartphones), keeps the training data on the devices, and only shares model updates, thus preserving privacy.
The AI governance framework ensures responsible AI development by establishing policies for fairness, transparency, privacy, accountability, and safety. This includes ethical guidelines, risk management, human oversight, and regulatory compliance to prevent bias, misuse, and harm while maximizing the benefits of AI.
Popular Posts
-
Khewra Mine Salt
28.12.2023 0 Comments -
Google history: When Was Google Founded and By Whom?
31.10.2024 0 Comments -
free software download websites for pc
21.09.2023 0 Comments -
10 Latest PLC Technology Trends
21.10.2023 0 Comments -
Waterfalls: Sajikot Waterfall
05.12.2023 0 Comments -
Magic Spoon Cereal Review
28.10.2023 0 Comments
Categories
- AUTO(23)
- HEALTH and Food(195)
- TESTIMONIALS (References)(0)
- SPORTS (12)
- IT and AI(70)
- Accessories(0)
- News(167)
- Pet(15)
- Visiting Place News(24)
- Style and Fashion news (25)
- Geography News(0)
- Entertainment News(0)
Random Posts
Tags
- imitator of the ocean
- download ms word WPS office
- West Coast tremor
- 49ers greatness
- Edge Computing
- Quaker Parrot facts
- Miracle Tree
- a display of power
- feline genetics
- Chotok
- PLC in Traffic Management
- Rainbow parrot collection
- concentrated perfume
- Honda CR-V e:FCEV 2025 Concept
- PLC in Semiconductor Manufacturing